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Update handler.py
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@@ -357,11 +357,17 @@ class DataHandlerLP(DataHandler):
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- These processors only apply to the learning phase.
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- These processors only apply to the learning phase.
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Tips to improve the performance of data handler
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Tips for data handler
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- To reduce the memory cost
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- To reduce the memory cost
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- `drop_raw=True`: this will modify the data inplace on raw data;
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- `drop_raw=True`: this will modify the data inplace on raw data;
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- Please note processed data like `self._infer` or `self._learn` are concepts different from `segments` in Qlib's `Dataset` like "train" and "test"
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- Processed data like `self._infer` or `self._learn` are underlying data processed with different processors
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- `segments` in Qlib's `Dataset` like "train" and "test" are simply the time segmentations when querying data("train" are often before "test" in time-series).
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- For example, you can query `data._infer` processed by `infer_processors` in the "train" time segmentation.
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"""
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"""
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# based on `self._data`, _infer and _learn are genrated after processors
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# based on `self._data`, _infer and _learn are genrated after processors
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